
The New Stack Podcast You can’t fire a bot: The blunt truth about AI slop and your job
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Feb 11, 2026 Matan-Paul Shetrit, Director of Product Management at Writer who builds enterprise AI and agentic systems. He discusses building enterprise-grade, specialized models and the need for version control and predictability. He explains context and judgment graphs, agent orchestration, and how AI shifts people into editorial and supervisory roles.
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The Porsche-Then-Kia Model Metaphor
- Shetrit uses a car metaphor: big model labs give you a Porsche that they may later swap for a Kia overnight.
- That unpredictability makes models risky for enterprise production.
Smaller Specialized Models Scale Better
- Large, general-purpose models are not always the right answer; specialization and cost matter for enterprise scale.
- Writer favors smaller, specialized models to lower cost and improve accuracy for specific business tasks.
Customer Data—Yours, Not Ours
- Writer treats customer data and context as owned by the customer and never inspects it.
- That design decision increases trust but complicates debugging and product support.
